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Abstract:
The paper presents a skeleton-based approach for robust
detection of perceptually salient shape features.
Given a shape approximated by a polygonal surface, its
skeleton is extracted using a three-dimensional Voronoi
diagram technique proposed recently by Amenta et al.
Shape creases, ridges and ravines,
are detected as curves corresponding to skeletal edges.
Salient shape regions are extracted via skeleton
decomposition into patches.
The approach explores the singularity
theory for ridge and ravine detection,
combines several filtering methods for skeleton denoising
and for selecting perceptually important ridges and ravines,
and uses a topological analysis of the skeleton for
detection of salient shape regions.
